This paper describes the effectiveness of observer-based output feedback for Unmanned Underwater Vehicle (UUV) with Linear Quadratic Regulation (LQR) performance. Tuning of observer parameters is crucial for tracking ...
This paper describes the effectiveness of observer-based output feedback for Unmanned Underwater Vehicle (UUV) with Linear Quadratic Regulation (LQR) performance. Tuning of observer parameters is crucial for tracking purpose. Prior to tuning facility, the ranges of observer and LQR parameters are obtained via system output cum error. The validation of this technique using unmanned underwater vehicles called Remotely Operated Vehicle (ROV) modelling helps to improve steady state performance of system response. The ROV modeling is focused for depth control using ROV 1 developed by the Underwater technology Research Group (UTeRG). The results are showing that this technique improves steady state performances in term of overshoot and settling time of the system response.
This paper is concerned with formation control problems of multi-robot systems in framework of model predictive control. The formation control of robots herein is based on the leader-follower scheme. The followers are...
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ISBN:
(纸本)9781479914821
This paper is concerned with formation control problems of multi-robot systems in framework of model predictive control. The formation control of robots herein is based on the leader-follower scheme. The followers are controlled by torques to track the desired trajectories to form and keep a formation. A model predictive control approach is proposed for solving the formation control problem, where the control problem is formulated as a dynamic quadratic optimization problem. A one-layer recurrent neural network called the simplified dual network is applied for computing the optimal control input in real time. Simulation results substantiate that the formation of robots can be well controlled by the proposed approach.
作者:
Younes A1 YounesHassan NouraAbdelhamid RabhiAhmed El HajjajiMechanical Engineering Faculty at Higher Colleges of Technology
Al Ain UAE and PhD student at the University of Picardie Jules Verne Amiens France PhD
is Professor and Chairman of Electrical Engineering Department at United Arab Emirates University Al Ain UAE PhD
is Assistant Professor in Modeling Information & System Lab - Control & Vehicle Group- at University of Picardie Amiens France PhD
is Professor in Modeling Information & System Lab - Control & Vehicle Group- at University of Picardie Amiens France
In this paper, a novel observer design is introduced to estimate the outputs of a Multi-Input-Multi-Output (MIMO) system. From the synthesis of state observer and Model-Free technique, the Model-Free Observer (MFO) is...
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ISBN:
(纸本)9781479977970
In this paper, a novel observer design is introduced to estimate the outputs of a Multi-Input-Multi-Output (MIMO) system. From the synthesis of state observer and Model-Free technique, the Model-Free Observer (MFO) is proposed to compensate for the un-modeled dynamics, modeling errors, and the system uncertainties. The developed output estimation technique using MFO is validated using real flights of a quadrotor UAV. Two flight-test missions are conducted to validate the proposed observer performance, in the fault free case as well as in the presence of actuator faults.
To improve the positioning accuracy of servomechanisms with one single actuator only, the dual-stage actuator (DSA) systems have been proposed and widely used for industrial applications for the benefits of both large...
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ISBN:
(纸本)9781479951055
To improve the positioning accuracy of servomechanisms with one single actuator only, the dual-stage actuator (DSA) systems have been proposed and widely used for industrial applications for the benefits of both large working range, high positioning accuracy and fast response. However, it is common that servomechanisms suffer from plant uncertainties and external disturbances which will affect the positioning accuracy. As such, this paper studies a robust control method called fast non-singular terminal sliding mode (FNTSM) control for a class of DSA systems. Compared with conventional sliding mode control, the FNTSM control can guarantee a faster convergence rate of the tracking error in the presence of system uncertainties including payload variations and external disturbances. Furthermore, it has the inherent feature of chattering-free in the control input. We also discuss the selection criteria of the controller parameters and then the FNTSM control method is applied to design the two control inputs of the DSA system. Simulations are studied to verify that the FNTSM controller can offer robust performance with respect to the mass variations and disturbance. Tracking performance achieved by conventional linear controllers is also presented for comparison.
作者:
Milan AnderleSergej ČelikovskýCzech Technical University in Prague
Faculty of Electrical Engineering Department of Control Engineering Technická 2 166 27 Prague Czech Republic Institute of Information Theory and Automation Academy of Sciences of the Czech Republic Pod Vodárenskou věží 4 182 08 Prague Czech Republic
Underactuated mechanical systems are systems with less actuators than degrees of freedom. Therefore, it is complicated to measure all states, i.e. angular positions or angular velocities, of the mechanical system. Alt...
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Underactuated mechanical systems are systems with less actuators than degrees of freedom. Therefore, it is complicated to measure all states, i.e. angular positions or angular velocities, of the mechanical system. Alternative solution consists in an observer design such that unmeasurable states are estimated. For this purpose, a high gain observer for an Acrobot was introduced. By virtue of an Acrobot embedding into a 4-link model, the high gain observer was simply extended and applied to the 4-link model. The main aim of this paper consists in a coupling of a method of the Acrobot embedding into the 4-link model and the high gain observer design for the Acrobot. The coupling results in an observer for the 4-link model with the same structure as the already developed high gain observer for the Acrobot model. The control of the 4-link model using the embedding method is based on a definition of constraining functions for knees control whereas the remaining angle in the hip is controlled in the same way as it would be an Acrobot's angle. The ability of feedback tracking of the walking-like trajectory of the 4-link with observed geometry during a swing phase of a single step is demonstrated in simulations.
This paper presents the development of low cost integrated Smart Sensor for Unmanned Underwater Vehicle (UUV) namely as underwater Remotely Operated Vehicle (ROV). In the underwater industries, the most crucial issues...
This paper presents the development of low cost integrated Smart Sensor for Unmanned Underwater Vehicle (UUV) namely as underwater Remotely Operated Vehicle (ROV). In the underwater industries, the most crucial issues are the sensors that are needed for the underwater task. The sensors that are utilized in this area are quite expensive and sensitive. Every sensors used in the underwater vehicle are not in the form of integrated sensors and most of them based on case to case basis. However, nowadays, a lot of industries are involved in the development of the integrated sensor in order to reduce the production cost as well as to increase accuracies, efficiencies and productivities. Therefore, this research proposes an integrated sensor to be applied in the underwater operations. The integrated sensor is designed based on three goal performances which are; the accuracies; the sensitivities and the cost efficiencies. This integrated sensor is the combination of pressure sensor, inertial measurement unit (IMU), digital compass and temperature sensor that are placed in a waterproof casing. This integrated sensor is targeted to be used to control the movement of ROV to maintain its position called station keeping. The purpose of the station keeping is to ensure the ROV to remain stationary at the desired depth by utilizing the pressure sensor. The experimental studies have been carried out in order to see the responses of each sensor.
The multiple instance regression problem has become a hot research topic recently. There are several approaches to the multiple instance regression problem, such as Salience, Citation KNN, and MI-ClusterRegress. All o...
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The multiple instance regression problem has become a hot research topic recently. There are several approaches to the multiple instance regression problem, such as Salience, Citation KNN, and MI-ClusterRegress. All of these solutions work in batch mode during the training step. However, in practice, examples usually arrive in sequence. Therefore, the training step cannot be accomplished once. In this paper, an online multiple instance regression method "OnlineMIR" is proposed. OnlineMIR can not only predict the label of a new bag, but also update the current regression model with the latest arrived bag. The experimental results show that OnlineMIR achieves good performances on both synthetic and real data sets.
This paper presents a framework for the nonlinear control of dual-stage actuators (DSA). Motivated by various nonlinear controllers that make use of sector bounded and £ ∞ nonlinearities for the control of satur...
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This paper presents a framework for the nonlinear control of dual-stage actuators (DSA). Motivated by various nonlinear controllers that make use of sector bounded and £ ∞ nonlinearities for the control of saturated linear systems, a methodology for integrating such nonlinear functions in order to improve the performance of DSA is presented. The stability of the closed-loop system is assessed by casting the nonlinearities in a mixed sector-bounded plus quasi-Linear Parameter Varying (LPV) framework, leading to a set of linear matrix inequalities (LMIs) to be satisfied by the controller parameters. Taking advantage of the developed framework, a new £ ∞ function is proposed to avoid the saturation of the secondary actuator. Simulation results illustrate the validity of the proposed framework and its potential for the performance improvement of DSA.
This paper presents a robust control method for trajectory tracking of a two wheeled mobile robot. A second order sliding mode control methodology is used to ensure continuity in the torque inputs, in addition to dist...
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